Triple

T26739472
Position Surface form Disambiguated ID Type / Status
Subject Woodbridge, Connecticut E674203 entity
Predicate servesGradesLocally P184578 FINISHED
Object K-6 LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: K-6 | Statement: [Woodbridge, Connecticut, servesGradesLocally, K-6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesGradesLocally
Context triple: [Woodbridge, Connecticut, servesGradesLocally, K-6]
  • A. servedGrades
    Indicates that one entity provided or delivered academic grades or evaluations to another entity.
  • B. hasGrades
    Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
  • C. overseesGrades
    Indicates that one entity is responsible for monitoring, managing, or supervising the academic grades of another entity.
  • D. hasGradeSystem
    Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
  • E. isGradeWithin
    Indicates that a given grade value falls within a specified acceptable or defined grade range.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69eecda57ab481909424e98f2835e7d8 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f7b365288c8190bcb11fcfba028737 completed May 3, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
PDg Predicate description generation batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d completed May 3, 2026, 8:41 p.m.
Created at: April 27, 2026, 3:48 a.m.